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To model realistic driver behavior, research interest is growing to develop new approaches that deal with the integration of cognitive processing steps in order to tune the modeled behavior to be more humanlike. But what means humanlike in this context? This paper deals with the question: How brain dynamics can help to get insights into the internal processes preceding intended driver behavior? Features extracted from electroencephalography (EEG) data can serve as an indicator of such neural activities. This approach will be illustrated by two experiments, dealing with simple button presses and more complex realistic steering maneuvers in an obstacle avoidance task. We found the lateralized readiness potential (LRP) in both experiments preceding button presses (∼200ms) and steering maneuvers (∼190ms) as a valid neuronal characteristic for motor preparation processes. This data indicates, that a time range about 200ms should be considered between decide and action components to describe driver models more humanlike.

What Is Human? How the Analysis of Brain Dynamics Can Help to Improve and Validate Driver Models